| Inertial sensor-based stride parameter calculation from gait sequences in geriatric patients A Rampp, J Barth, S Schülein, KG Gaßmann, J Klucken, BM Eskofier IEEE transactions on biomedical engineering 62 (4), 1089-1097, 2014 | 368 | 2014 |
| Wearable sensors objectively measure gait parameters in Parkinson’s disease JCM Schlachetzki, J Barth, F Marxreiter, J Gossler, Z Kohl, S Reinfelder, ... PloS one 12 (10), e0183989, 2017 | 361 | 2017 |
| Unbiased and mobile gait analysis detects motor impairment in Parkinson's disease J Klucken, J Barth, P Kugler, J Schlachetzki, T Henze, F Marxreiter, Z Kohl, ... PloS one 8 (2), e56956, 2013 | 290 | 2013 |
| Stride segmentation during free walk movements using multi-dimensional subsequence dynamic time warping on inertial sensor data J Barth, C Oberndorfer, C Pasluosta, S Schülein, H Gassner, S Reinfelder, ... Sensors 15 (3), 6419-6440, 2015 | 224 | 2015 |
| Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease J Barth, J Klucken, P Kugler, T Kammerer, R Steidl, J Winkler, ... 2011 annual international conference of the IEEE engineering in medicine and …, 2011 | 197 | 2011 |
| Mobile stride length estimation with deep convolutional neural networks J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... IEEE journal of biomedical and health informatics 22 (2), 354-362, 2017 | 148 | 2017 |
| Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities J Barth, C Oberndorfer, P Kugler, D Schuldhaus, J Winkler, J Klucken, ... 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 67 | 2013 |
| Instrumented gait analysis: a measure of gait improvement by a wheeled walker in hospitalized geriatric patients S Schülein, J Barth, A Rampp, R Rupprecht, BM Eskofier, J Winkler, ... Journal of neuroengineering and rehabilitation 14, 1-11, 2017 | 61 | 2017 |
| Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease J Barth, M Sünkel, K Bergner, G Schickhuber, J Winkler, J Klucken, ... 2012 annual international conference of the IEEE Engineering in Medicine and …, 2012 | 59 | 2012 |
| Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation CM Kanzler, J Barth, A Rampp, H Schlarb, F Rott, J Klucken, BM Eskofier 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 55 | 2015 |
| Thigh-derived inertial sensor metrics to assess the sit-to-stand and stand-to-sit transitions in the timed up and go (TUG) task for quantifying mobility impairment in multiple … HJ Witchel, C Oberndorfer, R Needham, A Healy, CEI Westling, JH Guppy, ... Frontiers in neurology 9, 684, 2018 | 47 | 2018 |
| The onhw dataset: Online handwriting recognition from imu-enhanced ballpoint pens with machine learning F Ott, M Wehbi, T Hamann, J Barth, B Eskofier, C Mutschler Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 44 | 2020 |
| Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson’s disease F Marxreiter, H Gaßner, O Borozdina, J Barth, Z Kohl, JCM Schlachetzki, ... Journal of neurology 265 (11), 2656-2665, 2018 | 43 | 2018 |
| Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors S Reinfelder, R Hauer, J Barth, J Klucken, BM Eskofier 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 32 | 2015 |
| Pull test estimation in Parkinson's disease patients using wearable sensor technology CF Pasluosta, J Barth, H Gassner, J Klucken, BM Eskofier 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 28 | 2015 |
| Stride length estimation with deep learning J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ... arXiv preprint arXiv:1609.03321, 2016 | 21 | 2016 |
| Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens F Ott, D Rügamer, L Heublein, T Hamann, J Barth, B Bischl, C Mutschler International Journal on Document Analysis and Recognition (IJDAR) 25 (4 …, 2022 | 20 | 2022 |
| Mobile biosensor-based gait analysis: a diagnostic and therapeutic tool in Parkinson’s disease J Klucken, J Barth, K Maertens, B Eskofier, P Kugler, R Steidl, ... Der Nervenarzt 82, 1604-1611, 2011 | 19* | 2011 |
| Surface-free multi-stroke trajectory reconstruction and word recognition using an imu-enhanced digital pen M Wehbi, D Luge, T Hamann, J Barth, P Kaempf, D Zanca, BM Eskofier Sensors 22 (14), 5347, 2022 | 14 | 2022 |
| Towards an imu-based pen online handwriting recognizer M Wehbi, T Hamann, J Barth, P Kaempf, D Zanca, B Eskofier Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 14 | 2021 |
Bjoern M. EskofierMaD Lab, FAU Erlangen-Nürnberg & TDH Group, Helmholtz MunichVerifisert e-postadresse på fau.de